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@@ -11,7 +11,7 @@ Welcome to DeepFlame's Documentation
 
 DeepFlame is a deep learning empowered computational fluid dynamics package for single or multiphase, laminar or turbulent, reacting flows at all speeds. It aims to provide an open-source platform to combine the individual strengths of `OpenFOAM <https://openfoam.org/>`_, `Cantera <https://cantera.org/>`_, and `PyTorch <https://pytorch.org/libraries>`_ libraries for deep learning assisted reacting flow simulations. It also has the scope to incorporate next-generation heterogenous supercomputing and AI acceleration infrastructures such as GPU and FPGA.
 
-The deep learning algorithms and models used in the DeepFlame tutorial examples are developed and trained independently by our collaborator team – `Intelligent Combustion <https://github.com/intelligent-algorithm-team/intelligent-combustion.git/>`_. Please refer to their website for detailed information.
+The deep learning algorithms and models used in the DeepFlame tutorial examples are made available in AIS Square for community data sharing – `DF-ODENet <https://www.aissquare.com/models/detail?pageType=models&name=DF-ODENet_DNNmodel&id=197/>`_. Please refer to the website for detailed information.
 
 .. Note:: This project is under active development.